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Experience leveraging complex data to drive business decisions, hands-on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Python, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
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Supermicro is seeking a Staff Product Manager who can lead the development and integration of storage system products for cloud and data center infrastructure. Leverage strong technical background to create technical product requirements for cloud/data center infrastructure solutions based on customer requirements, industry trends and business requirements.
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Plan, prioritize, implement and deliver investigative reporting systems using SAP, ABAP, SAP Business Intelligence and Data Warehousing technology stack and tools, such as SAP Business Warehouse (BW), High Performance Analytical Appliance (HANA DB), Operational Data Provisioning (ODP), SAP Analytics Cloud (SAC), SAP Business Objects (BOBJ), Analysis for Office (AO), Landscape Transformation Replication (SLT), Data Services (DS), HANA Smart Data Integration (SDI) and HANA Smart Data Access (SDA.
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Responds to Facility Related Emergency call outs – second level escalation point for Data Center facilities related issues / failures. · Ensures that all electrical, mechanical, and fire/life safety equipment within the data center is.
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Sensor Fusion Development: Integrate LiDAR data with other sensor data (e.g., GPS, IMU, cameras) to create accurate, real-time maps and localization solutions. Strong background in sensor fusion, particularly with LiDAR, GPS, IMU, and camera data.
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Working knowledge of pharmaceutical industry data sources (e.g., IQVIA/ICON/Veeva Compass, BioMed Tracker, Analysource). Partner with IT and other functions to design and operate the customer master data management process, including business rule definitions and process flows to ensure data integrity and quality.
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We are looking for a Senior Network Engineer to join a team of experienced engineers focused on designing, implementing, and operating Data Center network infrastructure, network security, Cloud Networking, and Application Delivery.
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As a part of the global research, our AI research in Silicon Valley focuses on Foundation Models, Big Data Visual Analytics, Explainable AI (XAI), Natural Language Processing, 3D Perception & Mixed Reality, Cloud Robotics, Data Science, AI Platform, Time-series Analysis.
$165,000 a yearFull-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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Our work integrates sensor data and predictive models to make real-time decisions for smooth and reliable autonomous driving. Analyze autonomous driving simulation and road test data to identify and resolve motion planning issues.
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Minimum of 8 years of experience in PCB design for data center products, with a strong focus on high-performance processor ICs, complex HDI PCBs, high-speed signaling, and power supply design. Design and integrate high-performance processor ICs, focusing on optimizing signal integrity and power management in demanding data center environments.
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The Research and Technology Center North America (RTC-NA) is dedicated to providing technologies and system solutions for various Bosch business fields, primarily in the field of artificial intelligence (for example, human-assisted AI, natural language processing, robotics, 3D perception, and AI platform), energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as advanced MEMS design.
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Advanced knowledge in Visualization tools like Google Data Studio, Tableau, Looker etc. The Lead Data Engineer should possess a breadth of knowledge, technical skills, and strategic thinking to build a Data Warehouse to answer important questions across a variety of functional areas and collaborate with business stakeholders and IT management to understand solution requirements and system design for delivering the data model, developing and implementing the solution to deliver the desired business outcomes.
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Expertise in large-scale distributed data processing platforms, such as Databricks or Apache Spark. Data influences all of the decisions we make at Tinder. Work closely with AI/ML and Data Science teams to define data requirements for predictive modeling and machine learning projects.
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You already know or can rapidly learn enterprise application capabilities in order to deliver transaction and event-driven data solutions (examples: SAP/HANA, MS Dynamics or Client Data, ADLS/Hadoop/Databricks datalake/lakehouse solutions, and/or Kafka streams.
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data job Title: laborer Company: Dow in Sunnyvale, CA
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